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Stochastic Optimization of Floating Point Programs with Tunable Precision
64-bit x86 x86-64, Binary Markov Chain Monte Carlo MCMC Stochastic Search SMT Floating-Point Precision
2016/5/24
The aggressive optimization of floating-point computations is an important problem in high-performance computing. Unfortunately,floating-point instruction sets have complicated semantics that often fo...
Automatic and Transparent I/O Optimization With Storage Integrated Application Runtime Support
Automatic Transparent I/O Optimization Storage Integrated Application Runtime Support
2016/5/24
Traditionally storage has not been part of a programming model’s semantics and is added only as an I/O library interface.
The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in highperformance computing. However, the competing constraints of transformation correct...
Stochastic Combinatorial Optimization via Poisson Approximation
Stochastic Knapsack Stochastic Bin Packing Expected Util- ity Maximization
2016/1/23
We study several stochastic combinatorial problems, includ-ing the expected utility maximization problem, the stochas-tic knapsack problem and the stochastic bin packing prob-lem. A common technical c...
The Power of Online Learning in Stochastic Network Optimization
Power Online Learning Stochastic Network Optimization
2016/1/22
In this paper, we investigate the power of online learning in stochastic network optimization with unknown system statistics a priori. We are interested in understanding how information and learning c...
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points
Approximating Expected Values Combinatorial Optimization Problems Stochastic Points
2016/1/22
We consider the stochastic geometry model where the location of each node is a random point in a given metric space,or the existence of each node is uncertain. We study the problem-s of computing the ...
Advances in convex optimization: Interior-point methods, cone programming, and applications
Convex optimization linear programming nonlinear convex programming program robust
2015/8/11
In this talk I will give an overview of some major developments in convex optimization that have emerged over the last ten years or so. The basic idea is that convex problems are fundamentally tractab...
Analysis and optimization of randomized gossip algorithms
Distributed network gossip constraints the algorithm the iterative sequence markov chain
2015/8/11
We study the distributed averaging problem on an arbitrary network with a gossip constraint, which means that no node communicates with more than one neighbour in every time slot. We consider algorith...
Distributed optimization for cooperative agents: Application to formation flight
Distributed algorithm optimization communication dual duality
2015/8/11
We present a simple decentralized algorithm to solve optimization problems involving cooperative agents. Cooperative agents share a common objective and simultaneously pursue private goals. Furthermor...
Temperature-aware processor frequency assignment for MPSoCs using convex optimization
Temperature-aware thermal MPSoCs convex optimization
2015/8/10
The increasing processing capability of Multi-Processor Systems-on-Chips (MPSoCs) is leading to an increase in chip power dissipation, which in turn leads to significant increase in chip temperature. ...
Temperature control of high-performance multi-core platforms using convex optimization
Thermal-aware design temperature control dynamic frequency scaling static and dynamic optimization
2015/8/10
With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperature. Temperature gradi...
Regular analog/RF IC design using optimization with recourse including ellipsoidal uncertainty
Design cycle radio frequency integrated circuits nanoscale integrated circuit technology the rf analog circuit
2015/8/10
Long design cycles due to the inability to predict silicon realities are a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for nanoscale IC te...
Fast model predictive control using online optimization
Model predictive control application offline calculation network controller
2015/8/7
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...
Distributed optimization and statistical learning via the alternating direction method of multipliers
Statistics machine learning convex optimization framework modern data set data set
2015/8/7
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
CVXGEN: A Code Generator for Embedded Convex Optimization
Convex optimization Code generation Embedded optimization
2015/8/7
CVXGEN is a software tool that takes a high level description of a convex optimization problem family, and automatically generates custom C code that compiles into a reliable, high speed solver for th...